Aggregating member forecasts can help plan purchases and logistics. The total, however, can hide differences in season and assortment. The common forecast should retain enough detail to link quantities to the conditions under which they will actually be requested.
I propose to use a coherent horizon and to distinguish confirmed orders from estimates. A prediction should not be treated as a commitment if the report does not attribute that meaning to it. Members should know how the information will be used and when they can update it.
We imagine outlets with spikes in demand in different weeks. A monthly average may appear stable, while the common warehouse faces weekly concentrations. The time detail makes it possible to prepare a capacity that is more amenable to the distribution of requests.
The verification compares predictions and usage, looking for recognizable causes of deviations. The system improves when returning to members helps correct subsequent estimates. A shared prediction serves cooperation if it makes constraints more readable, avoiding a collection of data without operational return.